Master backend architectures, REST API design, microservices, and server-side development across multiple languages. Use this as a central index to access specialized sub-skills.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Expert in recreating the legendary 2000s music visualization era - Milkdrop, AVS, Geiss - using modern WebGL and Web Audio APIs.
✅ Use for:
❌ NOT for:
| Era | Key Software | Innovation |
|---|---|---|
| 1998-2000 | Geiss | Simple plasma effects, DirectX |
| 2001-2007 | Milkdrop 1 & 2 | Per-pixel equations, preset system |
| 2007-2015 | Decline | Streaming services rise |
| 2018-Present | Butterchurn | WebGL renaissance |
Milkdrop's magic: Layering simple effects - blur, zoom, rotation, color shift - with audio-reactive parameters.
→ See references/butterchurn-guide.md for full history and integration.
butterchurn, butterchurn-presetsimport butterchurn from 'butterchurn';
const visualizer = butterchurn.createVisualizer(audioContext, canvas, {
width: window.innerWidth,
height: window.innerHeight,
pixelRatio: window.devicePixelRatio || 1,
});
visualizer.connectAudio(audioNode);
visualizer.loadPreset(preset, 2.0); // 2s blend
const analyser = audioContext.createAnalyser();
analyser.fftSize = 2048;
analyser.smoothingTimeConstant = 0.8;
const frequencyData = new Uint8Array(analyser.frequencyBinCount);
analyser.getByteFrequencyData(frequencyData);
Critical: FFT bins are linear but hearing is logarithmic! Use logarithmic mapping.
→ See references/web-audio-fft.md for frequency band extraction.
Pass audio data as 1D texture, use uniforms for bass/mid/treble:
uniform float u_bass;
float glow = smoothstep(0.5 - u_bass * 0.3, 0.0, dist);
→ See references/glsl-shaders.md for complete patterns.
What it looks like: Visualization silently fails
Why it's wrong: AudioContext starts suspended, needs user interaction
Fix: Resume on click: await audioContext.resume()
What it looks like: Bass dominates, treble invisible Why it's wrong: FFT bins are linear; first 100 bins might be 0-2kHz Fix: Use logarithmic bin mapping (code in references)
What it looks like: Jittery, seizure-inducing visuals
Why it's wrong: Raw FFT data is noisy frame-to-frame
Fix: analyserNode.smoothingTimeConstant = 0.7
What it looks like: Memory leaks, multiple render loops
Fix: Store animation ID, call cancelAnimationFrame on unmount
What it looks like: Blurry on retina, wrong aspect ratio
Fix: Multiply by devicePixelRatio, handle resize events
What it looks like: Choppy audio, dropped frames Why it's wrong: Heavy shader compilation on UI thread Fix: Compile shaders during loading, not during playback
Psychedelic/Trippy:
Flexi, martin + geiss - dedicated to the sherwin maxawowRovastar - FractopiaSmooth/Chill:
Flexi - predator-prey-spiralsGeiss - Cosmic Strings 2High Energy:
Flexi + Martin - disconnectedshifter - tumbling cubestextureRatio: 0.5will-change: transform on canvas→ references/butterchurn-guide.md - Complete Butterchurn integration
→ references/web-audio-fft.md - FFT extraction and frequency analysis
→ references/glsl-shaders.md - Audio-reactive shader patterns
This skill covers: Butterchurn/Milkdrop | Web Audio FFT | GLSL shaders | Full-screen visualization | Audio-reactive art
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Master backend architectures, REST API design, microservices, and server-side development across multiple languages. Use this as a central index to access specialized sub-skills.
日本語の概要は準備中です。原文の説明を表示しています。
在每次回复中使用固定前缀并列出本次实际参考的指令/文件,便于校验是否遵循上下文与规则。
日本語の概要は準備中です。原文の説明を表示しています。
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
日本語の概要は準備中です。原文の説明を表示しています。
[00] META. Orchestrate skills into dynamic chains for complex tasks. Analyzes the task, discovers available skills, builds an optimal chain, explains why each skill is needed, and executes step-by-step with user confirmation. Use for any complex task requiring multiple thinking/research/analysis steps. Triggers on "plan this", "how to approach", "what's the strategy", "build a plan", or any multi-step problem requiring skill orchestration.
日本語の概要は準備中です。原文の説明を表示しています。